prompt | string | Yes | - | Instructions for analyzing the data. This is a multi-line text area where you can: - Describe what analysis to perform - Ask specific questions about the data - Request insights, trends, or patterns - Use line breaks to structure complex analysis requests - Request charts and visualizations if needed. IMPORTANT RULES: - NEVER include actual data, datasets, or data content in this prompt field - ALWAYS use the separate ‘data’ field below for all datasets and data content - This prompt should ONLY contain analysis instructions, questions, and what insights you want - Even if the user provides data in their request, extract it and put it in the ‘data’ field instead - Charts will be returned as image URLs in markdown — no other formats are supported. - Do NOT request technical details for charts like image resolution or format — just describe the chart you want - When using ‘schema_fields’, do not ask the AI to return JSON, it will be returned automatically by default. |
model | string or SelectableOption | Yes | - | The AI model to use for data analysis. Some available options: ‘gpt-5.2’ - Default, best for data analysis ‘gpt-4.1’ - Support larger context windows, up to 1m tokens |
data | string | Yes | - | The data to analyze. This is mainly the output from upstream workflow nodes containing datasets, tables, or structured information. Reference data from other nodes using {{nodeId__data}} syntax. Example: {{googleSheetsNodeId__data}} For multiple datasets, add the dataset name before, for example: Meta Ads: {{metaAdsNodeId__data}} Google Analytics: {{googleAnalyticsNodeId__data}} |
schema_fields | array of SchemaField | No | - | - Defines a LIST of objects, where each object represents a field definition for the structured output. You are explicitly defining the keys of each object in the output schema. - Each object in the list must include: - name: The key name that will appear in the structured output (e.g., “clicks”, “impressions”). - type: Must be one of: text, number, boolean, list. Note that list represents a list of strings. - description – A clear explanation of what this field represents. - The schema fields can be referenced by downstream nodes using: {{nodeId__data.field}}. - Use this when you need the analysis results in a consistent format for downstream nodes like Google Sheets, Slides, etc. - Don’t use it to generate summary/markdown tables, this should be normal text output using the prompt field. |
force_python | boolean | No | - | Force the AI to use Python code for data analysis instead of just text analysis. When enabled, the AI will write and execute Python code to: - Perform statistical calculations - Generate charts and visualizations - Handle complex data manipulations - Provide more precise numerical analysis |
